Big Data Mind Map

1. Applications

1.1. Social Media

1.2. Marketing

1.3. Covid-19 data

1.4. Predictive Maintenance

1.5. Industry

1.5.1. Oil & Gas

1.5.2. Medical

1.5.3. Government

1.5.4. Construction

1.5.5. Manufacturing

1.5.6. Gaming

2. Related Discipline

2.1. Data Analytics

2.2. Data Stream

2.3. Data Warehousing

2.4. Data Lake

2.5. Data Mining

3. Challenges

3.1. Data storage

3.2. Scalability

3.3. Information Security

3.4. Human Resource & Manpower

3.5. Knowledge discovery

3.6. New technologies

4. Technologies

4.1. Storage

4.1.1. Hadoop

4.1.2. AWS S3

4.1.3. Azure Data Lake

4.1.4. Google Cloud

4.1.5. Oracle Cloud

4.1.6. Alibaba Cloud

4.2. Computing

4.2.1. Apache MapReduce

4.2.2. Cloudera Impala

4.2.3. IBM Netteza

4.2.4. Apache Giraph

4.2.5. Spark

4.2.6. Scala

4.2.7. Tableau

4.3. Support

4.3.1. JSON

4.3.2. SQL & NoSQL

4.3.3. RESTful

4.3.4. Machine-to-Machine

5. Benefits

5.1. Better decision

5.2. Informed Decision

5.3. Visibility

5.4. Avoiding data wastage

5.5. New business models

5.6. Automation

5.7. Improved ROI